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题名: Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China
作者: Qi, Min1, 2; Chen, Jun1; Sun, Xiaoxue1, 2; Deng, Xuwei1; Niu, Yuan1; Xie, Ping1
通讯作者: Xie, P (reprint author), Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan, Hubei, Peoples R China.
关键词: PURGE-AND-TRAP ; SOLID-PHASE MICROEXTRACTION ; VOLATILE ORGANIC-COMPOUNDS ; EARTHY-MUSTY ODORANTS ; FENG-SHEN RESERVOIR ; DRINKING-WATER ; GAS-CHROMATOGRAPHY ; MASS-SPECTROMETRY ; SOUTH TAIWAN ; BY-PRODUCTS
刊名: PLOS ONE
发表日期: 2012-12-19
DOI: 10.1371/journal.pone.0051976
卷: 7, 期:12, 页:e51976
收录类别: SCI
文章类型: Article
部门归属: [Qi, Min ; Chen, Jun ; Sun, Xiaoxue ; Deng, Xuwei ; Niu, Yuan ; Xie, Ping] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan, Hubei, Peoples R China ; [Qi, Min ; Sun, Xiaoxue] Huazhong Agr Univ, Coll Fisheries, Wuhan, Hubei, Peoples R China
WOS标题词: Science & Technology
资助者: National Basic Research Program of China (973 Program) [2008CB418101]; State Key Laboratory of Freshwater Ecology and Biotechnology [2008FBZ01]
类目[WOS]: Multidisciplinary Sciences
研究领域[WOS]: Science & Technology - Other Topics
摘要: Taste and odor (T&O) problems, which have adversely affected the quality of water supplied to millions of residents, have repeatedly occurred in Taihu Lake (e. g., a serious odor accident occurred in 2007). Because these accidents are difficult for water resource managers to forecast in a timely manner, there is an urgent need to develop optimum models to predict these T&O problems. For this purpose, various biotic and abiotic environmental parameters were monitored monthly for one year at 30 sites across Taihu Lake. This is the first investigation of this huge lake to sample T&O compounds at the whole-lake level. Certain phytoplankton taxa were important variables in the models; for instance, the concentrations of the particle-bound 2-methylisoborneol (p-MIB) were correlated with the presence of Oscillatoria, whereas those of the p-beta-cyclocitral and p-beta-ionone were correlated with Microcystis levels. Abiotic factors such as nitrogen (TN, TDN, NO3-N, and NO2-N), pH, DO, COND, COD and Chl-a also contributed significantly to the T&O predictive models. The dissolved (d) T&O compounds were related to both the algal biomass and to certain abiotic environmental factors, whereas the particle-bound (p) T&O compounds were more strongly related to the algal presence. We also tested the validity of these models using an independent data set that was previously collected from Taihu Lake in 2008. In comparing the concentrations of the T&O compounds observed in 2008 with those concentrations predicted from our models, we found that most of the predicted data points fell within the 90% confidence intervals of the observed values. This result supported the validity of these models in the studied system. These models, basing on easily collected environmental data, will be of practical value to the water resource managers of Taihu Lake for evaluating the probability of T&O accidents.
英文摘要: Taste and odor (T&O) problems, which have adversely affected the quality of water supplied to millions of residents, have repeatedly occurred in Taihu Lake (e. g., a serious odor accident occurred in 2007). Because these accidents are difficult for water resource managers to forecast in a timely manner, there is an urgent need to develop optimum models to predict these T&O problems. For this purpose, various biotic and abiotic environmental parameters were monitored monthly for one year at 30 sites across Taihu Lake. This is the first investigation of this huge lake to sample T&O compounds at the whole-lake level. Certain phytoplankton taxa were important variables in the models; for instance, the concentrations of the particle-bound 2-methylisoborneol (p-MIB) were correlated with the presence of Oscillatoria, whereas those of the p-beta-cyclocitral and p-beta-ionone were correlated with Microcystis levels. Abiotic factors such as nitrogen (TN, TDN, NO3-N, and NO2-N), pH, DO, COND, COD and Chl-a also contributed significantly to the T&O predictive models. The dissolved (d) T&O compounds were related to both the algal biomass and to certain abiotic environmental factors, whereas the particle-bound (p) T&O compounds were more strongly related to the algal presence. We also tested the validity of these models using an independent data set that was previously collected from Taihu Lake in 2008. In comparing the concentrations of the T&O compounds observed in 2008 with those concentrations predicted from our models, we found that most of the predicted data points fell within the 90% confidence intervals of the observed values. This result supported the validity of these models in the studied system. These models, basing on easily collected environmental data, will be of practical value to the water resource managers of Taihu Lake for evaluating the probability of T&O accidents.
关键词[WOS]: PURGE-AND-TRAP ; SOLID-PHASE MICROEXTRACTION ; VOLATILE ORGANIC-COMPOUNDS ; EARTHY-MUSTY ODORANTS ; FENG-SHEN RESERVOIR ; DRINKING-WATER ; GAS-CHROMATOGRAPHY ; MASS-SPECTROMETRY ; SOUTH TAIWAN ; BY-PRODUCTS
语种: 英语
WOS记录号: WOS:000312694300066
ISSN号: 1932-6203
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/19299
Appears in Collections:淡水生态学研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan, Hubei, Peoples R China
2.Huazhong Agr Univ, Coll Fisheries, Wuhan, Hubei, Peoples R China

Recommended Citation:
Qi, M; Chen, J; Sun, XX; Deng, XW; Niu, Y; Xie, P.Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China,PLOS ONE ,2012,7(12):e51976
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